High-throughput sequencing (HTS) has revolutionized researchers’ ability to study the human transcriptome, particularly as it relates to cancer. Recently, HTS technology has advanced to the point where now one is able to sequence individual cells (i.e., “single-cell sequencing”). Prior to single-cell sequencing technology, HTS would be completed on RNA extracted from a tissue sample consisting of multiple cell types (i.e., “bulk sequencing”). In this chapter, we review the various bioinformatics and statistical methods used in the processing, quality control, and analysis of bulk and single-cell RNA sequencing methods. Additionally, we discuss how these methods are also being used to study tumor heterogeneity.
CITATION STYLE
Yu, X., Abbas-Aghababazadeh, F., Chen, Y. A., & Fridley, B. L. (2021). Statistical and bioinformatics analysis of data from bulk and single-cell RNA sequencing experiments. In Methods in Molecular Biology (Vol. 2194, pp. 143–175). Humana Press Inc. https://doi.org/10.1007/978-1-0716-0849-4_9
Mendeley helps you to discover research relevant for your work.